Abstract
There is no believable risk map because of the tremendous imprecision of the risk assessment due to the incomplete-data set. To improve the probability estimation, the fuzzy set methodology was introduced into the area of risk assessment with respect to natural disasters. A fuzzy risk represented by a possibility-probability distribution, which is calculated by employing the interior-outer-set model, can represent the imprecision of risk assessments with a small sample. Thus, by using the fuzzy set methodology, we can provide a soft risk map which can accommodate the imprecision of risk assessment. Soft risk map can be adopted as a useful tool for the representation and reasoning of uncertainty of risk assessments due to incompleteness in real-world applications.
Project supported by National Natural Science Foundation of China, No. 40371002.
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Zhang, J., Huang, C. (2004). Cartographic Representation of the Uncertainty Related to Natural Disaster Risk: Overview and State of the Art. In: Shi, Y., Xu, W., Chen, Z. (eds) Data Mining and Knowledge Management. CASDMKM 2004. Lecture Notes in Computer Science(), vol 3327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30537-8_23
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DOI: https://doi.org/10.1007/978-3-540-30537-8_23
Publisher Name: Springer, Berlin, Heidelberg
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